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Design and Implementation of Chlorophyll a and Eutrophication Remote Sensing Monitoring System Based on ArcGIS Engine: A Case Study in Chagan Lake

机译:基于ArcGIS发动机的叶绿素A和富营养化遥感监测系统的设计与实现 - 以土坎湖为例

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On the basis of the hyperspectral data, the paper did research on the remote sensing monitoring of chlorophyll a and eutrophication of Chagan Lake using hyperspectral model put forward by Hongtao Duan (Northeast Institute of Geography and Agricultural Ecology). Based on the mature theory, the process of remote sensing was implemented by a system with the support of techniques of the second development of GIS. The paper used the hyperspectral data of September 12th, 2004 as system instance data. Base on these instance data, the result gotten by the system shows that the concentration of chlorophyll a in the northwest of Chagan Lake is lower while that in the northeast and middle is higher, and so is the value of trophic state index. It means eutrophication in the middle and northeast of Chagan Lake is more serious. According to division standard of eutrophication, we find out that most of Chagan Lake has already belonged to mesotrophic water and part of it belonged to eutrophic water. The results are approximately same with Hongtao Duan's conclusions in 2004.
机译:在高光谱数据的基础上,本文采用了洪塔段(东北地理和农业生态学研究所)提出的高光谱模型对叶绿素A和富营养化合物的叶绿素A和富营养化的遥感监测研究。基于成熟理论,系统通过支持GIS第二发育技术的支持来实现遥感过程。本文使用了2004年9月12日的高光谱数据作为系统实例数据。基于这些实例数据,系统所得到的结果表明,卡明湖西北部叶绿素A的浓度较低,而在东北和中间较高,营养州指数的价值也是如此。它意味着卡明湖中东和东北部的富营养化更为严重。根据富营养化的划分标准,我们发现大多数内康湖已经属于菊雌性水,部分属于富营养的水。结果与2004年的洪涛段的结论大致相同。

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